Background: Fatigue is a disabling symptom of multiple sclerosis (MS) and impacts on daily life. The Fatigue Symptoms and Impacts Questionnaire-Relapsing Multiple Sclerosis (FSIQ-RMS) is a new 20-item tool that investigates the aspects of fatigue in MS. It concerns motor, cognitive, social, and emotional aspects of fatigue. We aim at validating the Italian version of FSIQ-RMS in an Italian population of MS patients and demonstrate its reliability and construct validity. Methods: We included patients with diagnosis of MS, age between 18 and 70 years with ability to participate in a 90-min interview. Each patient completed the Italian version of FSIQ-RMS and Fatigue Severity Scale (FSS) at the same time. Construct validity was explored by the exploratory factor analysis; reliability was assessed with Cronbach’s alpha; and test–retest stability was examined through intraclass correlation coefficient (ICC). Concurrent validity was calculated using Pearson’s correlation. Results: We enrolled 171 patients (126 female and 45 male), 83% with relapsing MS (RMS), and 17% with secondary progressive MS (SPMS). Italian FSIQ-RMS showed a Cronbach’s alpha of 0.92; ICC was 0.96. Pearson’s correlation coefficient between FSIQ-RMS and FSS total score was statistically significant (p < 0.01); FSIQ-RMS inversely correlated also with BMI and positively with EDSS. Conclusion: The Italian version of FSIQ-RMS has excellent psychometric properties and can be used in research and clinical setting to evaluate physical, cognitive, and social fatigue in both RMS and SPMS.

Italian translation and validation of fatigue symptoms and impacts questionnaire in relapsing multiple sclerosis (FSIQ-RMS) / Ruotolo, I.; Sellitto, G.; Ianniello, A.; Petsas, N.; Castelli, L.; Galeoto, G.; Berardi, A.; Barletta, V.; Conte, A.; Pozzilli, C.. - In: NEUROLOGICAL SCIENCES. - ISSN 1590-1874. - (2022). [10.1007/s10072-022-06080-1]

Italian translation and validation of fatigue symptoms and impacts questionnaire in relapsing multiple sclerosis (FSIQ-RMS)

Ianniello A.;Petsas N.;Galeoto G.;Berardi A.;Conte A.;Pozzilli C.
2022

Abstract

Background: Fatigue is a disabling symptom of multiple sclerosis (MS) and impacts on daily life. The Fatigue Symptoms and Impacts Questionnaire-Relapsing Multiple Sclerosis (FSIQ-RMS) is a new 20-item tool that investigates the aspects of fatigue in MS. It concerns motor, cognitive, social, and emotional aspects of fatigue. We aim at validating the Italian version of FSIQ-RMS in an Italian population of MS patients and demonstrate its reliability and construct validity. Methods: We included patients with diagnosis of MS, age between 18 and 70 years with ability to participate in a 90-min interview. Each patient completed the Italian version of FSIQ-RMS and Fatigue Severity Scale (FSS) at the same time. Construct validity was explored by the exploratory factor analysis; reliability was assessed with Cronbach’s alpha; and test–retest stability was examined through intraclass correlation coefficient (ICC). Concurrent validity was calculated using Pearson’s correlation. Results: We enrolled 171 patients (126 female and 45 male), 83% with relapsing MS (RMS), and 17% with secondary progressive MS (SPMS). Italian FSIQ-RMS showed a Cronbach’s alpha of 0.92; ICC was 0.96. Pearson’s correlation coefficient between FSIQ-RMS and FSS total score was statistically significant (p < 0.01); FSIQ-RMS inversely correlated also with BMI and positively with EDSS. Conclusion: The Italian version of FSIQ-RMS has excellent psychometric properties and can be used in research and clinical setting to evaluate physical, cognitive, and social fatigue in both RMS and SPMS.
2022
Fatigue; FSIQ-RMS; FSS; Italian validation; Multiple sclerosis
01 Pubblicazione su rivista::01a Articolo in rivista
Italian translation and validation of fatigue symptoms and impacts questionnaire in relapsing multiple sclerosis (FSIQ-RMS) / Ruotolo, I.; Sellitto, G.; Ianniello, A.; Petsas, N.; Castelli, L.; Galeoto, G.; Berardi, A.; Barletta, V.; Conte, A.; Pozzilli, C.. - In: NEUROLOGICAL SCIENCES. - ISSN 1590-1874. - (2022). [10.1007/s10072-022-06080-1]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1643520
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